EnSpire Data analyst

The University of Oxford is a stimulating work environment, which enjoys an
international reputation as a world-class centre of excellence. Our research
plays a key role in tackling many global challenges, from reducing our carbon
emissions to developing vaccines during a pandemic.





**Department: what do you do?**



The Innovation & Engagement Department at the University of Oxford is
dedicated to fostering a culture of entrepreneurship, innovation and
engagement with research. The department supports researchers and
entrepreneurs in developing and implementing strategies that promote
entrepreneurship, knowledge exchange and public engagement. By collaborating
with local authorities, industry partners, communities and the public, and
academic colleagues, the department aims to make Oxfordshire a top global
innovation ecosystem, ensuring that the University's research and
entrepreneurial activities have a significant impact on society.





**One sentence summary of job**





Join the University of Oxford’s Innovation & Engagement Team as a Data Analyst
to drive data-driven insights and support diversity initiatives.





**What We Offer**





As an employer, we genuinely care about our employees’ wellbeing and this is
reflected in the range of benefits that we offer including:





• An excellent contributory pension scheme



• 38 days annual leave



• A comprehensive range of childcare services



• Family leave schemes



• Cycle loan scheme



• Discounted bus travel and Season Ticket travel loans



• Membership to a variety of social and sports clubs





This role also offers the opportunity for hybrid working





**About the Role**





As the Data Analyst (Innovation & Engagement), you will be a crucial member of
the University of Oxford’s Innovation & Engagement (I&E) Team. You will focus
on analysing data within the University’s entrepreneurial ecosystem and
supporting the Increasing Diversity in Enterprising Activities (IDEA)
programme. You will work closely with partners across the University and
beyond to collect, compare, and interpret data, contributing to the
University’s efforts to foster a more inclusive entrepreneurship environment.
Additionally, you will support the wider I&E Team’s data collection and
analysis, including Knowledge Exchange and Public and Community Engagement
with Research.





In this role, you will develop data analytics and reporting mechanisms,
benchmarking standards, and support the evaluation of initiatives. Your strong
analytical skills, attention to detail, and ability to work independently on
complex data projects will be essential. You will prepare detailed reports and
presentations on diversity data, communicate findings and recommendations to
stakeholders, and collaborate with other teams to integrate data insights into
EDI initiatives.





You will also be responsible for ensuring data accuracy and integrity,
developing and maintaining databases and reporting mechanisms, and providing
data-driven insights to support decision-making. Your proactive approach to
problem-solving and commitment to continuous improvement will be key to your
success in this role.





**About You**





You will have strong numerical and analytical skills, with experience in data
analysis. You will be proficient in collecting, synthesising, and interpreting
large volumes of complex data using appropriate tools such as Python, R,
Excel, and PowerBI. You will know how to develop and maintain databases (e.g.,
SQL) and reporting mechanisms, and have excellent attention to detail and
accuracy.





You will be able to communicate data findings effectively to diverse
audiences, work independently and manage data projects, and organise tasks and
prioritise effectively to meet deadlines. You will use data analysis tools and
software proficiently. It would be beneficial, but not essential, if you
understand the University research and knowledge exchange environment, have
experience in supporting EDI initiatives, are familiar with the Oxford
University ecosystem, and know data protection regulations and best practices





**Application Process**





You will be required to upload a covering letter/supporting statement, CV and
the details of two referees as part of your online application.





The closing date for applications is 12 noon on Friday 15 November 2024





Interviews will take place on Thursday 28 November and will be face to face